projects $ cat detect-malicious-websites.md

Detecting Malicious Websites

paper

2014 · BSc thesis

Phishing sites often look pixel-perfect — but their infrastructure rarely adds up. My bachelor thesis investigated whether the geographical consistency of a website's components (server location, domain registration, content origin) can help users spot malicious sites.

I built an experiment tool that visualized where each part of a website physically came from, and had participants classify sites as trustworthy or malicious based on that signal.

visit project git clone

$ cat package.json

{
  "name": "detect-malicious-websites",
  "version": "1.0.0",
  "description": "Bachelor thesis: an experiment where participants classified websites based on the geographical consistency of different components of a website.",
  "category": "paper",
  "role": "BSc thesis",
  "keywords": [
    "Security",
    "Research"
  ],
  "homepage": "https://github.com/laurensV/TrustingWebsites/blob/master/trusting-website-using-geographical-consistency_laurens-verspeek.pdf",
  "repository": "https://github.com/laurensV/TrustingWebsites"
}